Papers
10
Total Citations
78
H-Index
6
About
Ronghua Luo is a robotics researcher whose work centers on autonomous mobile robot navigation, simultaneous localization and mapping (SLAM), and intelligent sensing systems. His most significant contributions lie in advancing probabilistic approaches to robot self-localization, particularly through novel applications of the Rao-Blackwellized Particle Filter (RBPF) combined with Unscented Kalman Filtering for monocular vision-based SLAM in unknown indoor environments — work that has garnered his highest citation counts of 18 and 14 respectively. Luo has also made meaningful strides in multi-sensor fusion for enriched indoor map building, line-based localization using laser range finders, and simultaneous place and object recognition using contextual information. A notably creative contribution is his development of an EMG signal-integrated robot hand control system for massage therapy applications, demonstrating a forward-thinking expansion of robotic hands beyond conventional prosthetic and grasping uses. His work on hybrid and joint Conditional Random Fields for multi-object tracking further reflects his interest in robots operating within dynamic, populated environments. Collectively, Luo's research portfolio represents a sustained commitment to making autonomous mobile robots more perceptive, spatially aware, and practically useful in real-world service settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2A novel method for mobile robot simultaneous localization and mapping14 citations · 2006
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- 4Indoor localization using line based map for autonomous mobile robot10 citations · 2008
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- 9Cooperative Global Localization in Multi-Robot System2 citations · 2011
- 10